smeoni/nbme-deberta-v2-xlarge
049
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nbme-deberta-v2-xlarge
This model is a fine-tuned version of microsoft/deberta-v2-xlarge on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.5986
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- trainbatchsize: 4
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 3.0
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1